Showing posts with label experienced. Show all posts
Showing posts with label experienced. Show all posts

June 07, 2022

Top 20 Amazon Detective Interview Questions and Answers

 

        Amazon Detective makes this process easier by allowing your security teams to swiftly investigate and get to the bottom of a problem. Amazon Detective can automatically provide a single, interactive view of your resources, users, and their interactions across time by analysing billions of events from numerous data sources such as Virtual Private Cloud (VPC) Flow Logs, AWS CloudTrail, and Amazon GuardDuty. With this unified view, you can see all of the facts and context in one location, allowing you to rapidly uncover the main cause, dive down into relevant past events, and identify the underlying causes for the results.

 

AWS(Amazon Web Services) Interview Questions and Answers

 

Ques. 1): What is Amazon Detective and how does it work?

Answer:

Amazon Detective makes it simple to research, evaluate, and swiftly pinpoint the source of suspected security concerns or suspicious behaviours. Amazon Detective collects log data from your AWS resources automatically and combines machine learning, statistical analysis, and graph theory to create a connected collection of data that allows you to perform security investigations quicker and more efficiently.

 

AWS Cloud Interview Questions and Answers

 

Ques. 2): How can I connect the results of an Amazon Detective investigation to remediation and response tools?

Answer:

Amazon Detective has been connected with a number of partner security solution providers to allow investigative stages within their automated playbooks and orchestrations. These products provide users with links from within response workflows to Amazon Detective sites, which feature curated visualisations for studying results and resources discovered within the process.

 

AWS AppSync Interview Questions and Answers

 

Ques. 3): How much does Amazon Detective cost?

Answer:

The cost of Amazon Detective is determined by the amount of data ingested from AWS CloudTrail logs, Amazon VPC Flow Logs, and Amazon GuardDuty results. Per account/region/month, you are paid per Gigabyte (GB) swallowed. For its analysis, Amazon Detective keeps up to a year's worth of aggregated data.  

 

AWS Cloud9 Interview Questions and Answers

 

Ques. 4): What is the relationship between Amazon Detective and other AWS security services like Amazon GuardDuty and AWS Security Hub?

Answer:

By offering console connections with Amazon GuardDuty and AWS Security Hub, Amazon Detective allows cross-service user operations. From within their consoles, these services include links that take you immediately to an Amazon Detective page with a chosen selection of visualisations for examining the selected finding. The Amazon Detective discoveries detail page is automatically linked to the timeline of the finding and displays pertinent data related with it.

 

Amazon Athena Interview Questions and Answers

 

Ques. 5): What are the main advantages of using Amazon Detective?

Answer:

Amazon Detective streamlines the investigation process, allowing security teams to perform investigations more quickly and effectively. The prebuilt data aggregations, summaries, and context in Amazon Detective let you quickly examine and determine the type and scope of any security vulnerabilities. Amazon Detective stores up to a year's worth of aggregated data and makes it accessible via a series of visualisations that highlight changes in the kind and volume of activity over time and correlate those changes to security discoveries. There are no upfront charges, and you just pay for the events that are examined; no additional software or log feeds are required.

 

AWS RedShift Interview Questions and Answers

 

Ques. 6): How can I prevent Amazon Detective from accessing my logs and data sources?

Answer:

AWS CloudTrail logs, VPC Flow logs, and Amazon GuardDuty discoveries may all be analysed and visualised using Amazon Detective. To prevent Amazon Detective from analysing these logs and discoveries for your accounts, deactivate the service via the API or via the Amazon Detective settings section in the AWS Console.

 

AWS Cloud Practitioner Essentials Questions and Answers

 

Ques. 7): How do I make Amazon Detective work for me?

Answer:

You can use the AWS Management Console or the Amazon Detective API to enable Amazon Detective. To get the greatest cross-service experience, enable Amazon Detective with the same account that is the Master account in Amazon GuardDuty or AWS Security Hub.

 

AWS EC2 Interview Questions and Answers

 

Ques. 8): What is the difference between Amazon Detective and Amazon GuardDuty and AWS Security Hub?

Answer:

Amazon GuardDuty is a threat detection service that protects your AWS accounts and workloads by continually monitoring for harmful activity and illegal conduct. You may use Security Hub to consolidate, organise, and prioritise security alerts and discoveries across several AWS services, including Amazon GuardDuty, Amazon Inspector, and Amazon Macie, as well as AWS Partner solutions. Amazon Detective makes it easier to investigate security issues and pinpoint the source of the problem. Amazon Detective automatically constructs a graph model from billions of events from numerous data sources, such as VPC Flow Logs, AWS CloudTrail logs, and Amazon GuardDuty discoveries, to provide you a consistent, interactive picture of your resources, users, and their interactions across time.

 

AWS Lambda Interview Questions and Answers

 

Ques. 9): How soon does Amazon Detective get to work?

Answer:

As soon as Amazon Detective is activated, it begins collecting log data and delivers visual summaries and analytics on the ingested data. Amazon Detective also allows you to compare recent behaviour to previous baselines created after two weeks of account monitoring.

 

AWS Cloud Security Interview Questions and Answers

 

Ques. 10): Is it possible to utilise Amazon Detective without having Amazon GuardDuty enabled?

Answer:

Before you enable Amazon Detective on your accounts, you must first enable Amazon GuardDuty on those accounts for at least 48 hours. Detective, on the other hand, may be used to look into more than simply your GuardDuty results. Amazon Detective delivers thorough summaries, analyses, and visualisations of your AWS accounts, EC2 instances, AWS users, roles, and IP addresses' activities and interactions. This data can help you figure out what's going on with your account, whether it's a security concern or something more mundane.

 

AWS Simple Storage Service (S3) Interview Questions and Answers

 

Ques. 11): What is the best way to get started with Amazon Detective?

Answer:

With a few clicks in the AWS Management portal, you may enable Amazon Detective. Once activated, Amazon Detective automatically organises data into a graph model, which is updated as new data becomes available. You may try out Amazon Detective and start looking into any security vulnerabilities.

 

AWS Fargate Interview Questions and Answers

 

Ques. 12): What recommendations does Amazon Detective provide for investigating a security issue?

Answer:

Amazon Detective presents context and insights into AWS resources such as AWS accounts, EC2 instances, users, roles, IP addresses, and Amazon GuardDuty results through a range of visualisations. Each visualisation is intended to answer a specific topic that may arise as you review the data and activities. Each visualisation comes with with instructions on how to understand the panel and utilise the data to answer your investigation questions.

 

AWS SageMaker Interview Questions and Answers

 

Ques. 13): Is it possible to export Amazon Detective's raw log data?

Answer:

AWS CloudTrail logs and VPC Flow Logs are analysed by Amazon Detective, however the raw logs are not available for export. You may export these logs from AWS using other services.

 

AWS DynamoDB Interview Questions and Answers

 

Ques. 14): Is Amazon Detective a domestic or international service?

Answer:

Amazon Detective is a tool that allows you to swiftly evaluate behaviour across all of your accounts in each location. It must be activated region by region. This guarantees that the data being evaluated is geographically specific and does not cross AWS regional boundaries.

 

AWS Cloudwatch interview Questions and Answers

 

Ques. 15): What information does Amazon Detective save, is it encrypted, and can I choose which data sources to use?

Answer:

Amazon Detective follows the AWS shared responsibility model, which includes data protection standards and procedures. For any accounts where Amazon Detective has been activated, data from AWS CloudTrail logs, VPC Flow Logs, and Amazon GuardDuty discoveries will be processed.

 

AWS Elastic Block Store (EBS) Interview Questions and Answers

 

Ques. 16): What types of data does Amazon Detective look at?

Answer:

Customers may use Amazon Detective to see summaries and analytical data connected with AWS CloudTrail events and VPC Flow Logs. Detective also handles Amazon GuardDuty results for clients that have Amazon GuardDuty activated.

 

AWS Amplify Interview Questions and Answers 

 

Ques. 17): Is it possible to use Amazon Detective to handle several accounts?

Answer:

Yes, Amazon Detective is a multi-account service that collects data from monitored member accounts and consolidates it into a single master account for the same area. You can set up multi-account monitoring installations in Amazon GuardDuty and AWS Security Hub the same way you set up master and member accounts.

 

AWS Secrets Manager Interview Questions and Answers

 

Ques. 18): Is allowing Amazon Detective going to put my existing AWS workloads at risk of performance or availability?

Answer:

Because Amazon Detective obtains log data and discoveries straight from AWS services, it has no influence on the performance or availability of your AWS infrastructure.

 

AWS Django Interview Questions and Answers

 

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May 22, 2022

Top 20 AWS Data Pipeline Interview Questions and Answers

 

AWS Data Pipeline is a web service that enables you to process and move data between AWS computing and storage services, as well as on-premises data sources, at predetermined intervals. You may use AWS Data Pipeline to frequently access your data, transform and analyse it at scale, and efficiently send the results to AWS services like Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR.


AWS Data Pipeline makes it simple to build fault-tolerant, repeatable, and highly available data processing workloads. You won't have to worry about resource availability, inter-task dependencies, retrying temporary failures or timeouts in individual tasks, or setting up a failure notification system. Data that was previously locked up in on-premises data silos can also be moved and processed using AWS Data Pipeline.


AWS(Amazon Web Services) Interview Questions and Answers


Ques. 1): What is a pipeline, exactly?

Answer:

A pipeline is an AWS Data Pipeline resource that defines the chain of data sources, destinations, and preset or custom data processing activities that are necessary to run your business logic.


AWS Cloud Interview Questions and Answers


Ques. 2): What can I accomplish using Amazon Web Services Data Pipeline?

Answer:

You can quickly and simply construct pipelines using AWS Data Pipeline, which eliminates the development and maintenance effort necessary to manage your daily data operations, allowing you to focus on creating insights from that data. Simply configure your data pipeline's data sources, timetable, and processing tasks. AWS Data Pipeline manages the execution and monitoring of your processing tasks on a fault-tolerant, highly reliable infrastructure. AWS Data Pipeline also has built-in activities for typical tasks like moving data between Amazon S3 and Amazon RDS and executing a query on Amazon S3 log data to make your development process even easier.


AWS AppSync Interview Questions and Answers


Ques. 3): How do I install a Task Runner on my on-premise hosts?

Answer:

You can install the Task Runner package on your on-premise hosts using the following steps:

Download the AWS Task Runner package.

Create a configuration file that includes your AWS credentials.

Start the Task Runner agent via the following command:

java -jar TaskRunner-1.0.jar --config ~/credentials.json --workerGroup=[myWorkerGroup]

Set the activity to execute on [myWorkerGroup] when defining it so that it may be dispatched to the previously installed hosts.


AWS Cloud9 Interview Questions and Answers


Ques. 4): What resources are used to carry out activities?

Answer:

AWS Data Pipeline actions are carried out on your own computing resources. AWS Data Pipeline–managed and self-managed computing resources are the two categories. AWS Data Pipeline–managed resources are Amazon EMR clusters or Amazon EC2 instances that are launched only when they're needed by the AWS Data Pipeline service. You can manage resources that run longer and can be any resource that can execute the AWS Data Pipeline Java-based Task Runner (on-premise hardware, a customer-managed Amazon EC2 instance, etc.).


Amazon Athena Interview Questions and Answers


Ques. 5): Is it possible for me to run activities on on-premise or managed AWS resources?

Answer:

Yes. AWS Data Pipeline provides a Task Runner package that may be deployed on your on-premise hosts to enable performing operations utilising on-premise resources. This package polls the AWS Data Pipeline service for work to be done on a regular basis. AWS Data Pipeline will issue the proper command to the Task Runner when it's time to conduct a certain action on your on-premise resources, such as executing a DB stored procedure or a database dump. You may assign many Task Runners to poll for a specific job to guarantee that your pipeline operations are highly available. If one Task Runner is unavailable, the others will simply take up its duties.


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Ques. 6): Is it possible to manually restart unsuccessful activities?

Answer:

Yes. By changing the status of a group of completed or unsuccessful actions to SCHEDULED, you can restart them. This may be done using the UI's Rerun button or by changing their status via the command line or API. This will trigger a re-check of all activity dependencies, as well as the execution of further activity attempts. Following successive failures, the Activity will attempt the same number of retries as before.


AWS Cloud Practitioner Essentials Questions and Answers


Ques. 7): What happens if an activity doesn't go as planned?

Answer:

If all of an activity's activity attempts fail, the activity fails. An activity retries three times by default before failing completely. The number of automated retries can be increased to ten, but the technology does not enable endless retries. After an activity's tries have been exhausted, it will trigger any preset onFailure alarms and will not attempt to run again until you explicitly issue a rerun command using the CLI, API, or console button.


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Ques. 8): What is a schedule, exactly?

Answer:

Schedules specify when your pipeline actions take place and how often the service expects your data to be provided. Every schedule must specify a start date and a frequency, such as every day at 3 p.m. beginning January 1, 2013. The AWS Data Pipeline service does not execute any actions after the end date specified in the schedule. When you link a timetable to an activity, the activity runs on that schedule. You notify the AWS Data Pipeline service that you want the data to be updated on that schedule when you connect a schedule with a data source. For example, if you define an Amazon S3 data source with an hourly schedule, the service expects that the data source contains new files every hour.


AWS Lambda Interview Questions and Answers


Ques. 9): What is a data node, exactly?

Answer:

A data node is a visual representation of your company's information. A data node, for example, can point to a specific Amazon S3 route. AWS Data Pipeline has an expression language that makes it simple to refer to data that is created often. For example, you may specify s3:/example-bucket/my-logs/logdata-#scheduledStartTime('YYYY-MM-dd-HH').tgz as your Amazon S3 data format.


AWS Cloud Security Interview Questions and Answers


Ques. 10): Does Data Pipeline supply any standard Activities?

Answer:

Yes, AWS Data Pipeline provides built-in support for the following activities:

CopyActivity: This activity can copy data between Amazon S3 and JDBC data sources, or run a SQL query and copy its output into Amazon S3.

HiveActivity: This activity allows you to execute Hive queries easily.

EMRActivity: This activity allows you to run arbitrary Amazon EMR jobs.

ShellCommandActivity: This activity allows you to run arbitrary Linux shell commands or programs.

 

AWS Simple Storage Service (S3) Interview Questions and Answers


Ques. 11): Is it possible to employ numerous computing resources on the same pipeline?

Answer:

Yes, just construct numerous cluster objects in your definition file and use the runsOn attribute to associate the cluster to use for each activity. This enables pipelines to use a mix of AWS and on-premise resources, as well as a mix of instance types for their activities – for example, you might want to use a t1.micro to run a quick script cheaply, but later on the pipeline might have an Amazon EMR job that requires the power of a cluster of larger instances.


AWS Fargate Interview Questions and Answers


Ques. 12): What is the best way to get started with AWS Data Pipeline?

Answer:

Simply navigate to the AWS Management Console and choose the AWS Data Pipeline option to get started with AWS Data Pipeline. You may then use a basic graphical editor to design a pipeline.


AWS SageMaker Interview Questions and Answers


Ques. 13): What is a precondition?

Answer:

A readiness check that may be coupled with a data source or action is known as a precondition. If a data source contains a precondition check, that check must pass before any operations that use the data source may begin. If an activity contains a precondition, the precondition check must pass before the activity may be executed. This is handy if you're performing a computationally intensive activity that shouldn't run unless certain requirements are satisfied.


AWS DynamoDB Interview Questions and Answers


Ques. 14): Does AWS Data Pipeline supply any standard preconditions?

Answer:

Yes, AWS Data Pipeline provides built-in support for the following preconditions:

DynamoDBDataExists: This precondition checks for the existence of data inside a DynamoDB table.

DynamoDBTableExists: This precondition checks for the existence of a DynamoDB table.

S3KeyExists: This precondition checks for the existence of a specific AmazonS3 path.

S3PrefixExists: This precondition checks for at least one file existing within a specific path.

ShellCommandPrecondition: This precondition runs an arbitrary script on your resources and checks that the script succeeds.


AWS Cloudwatch interview Questions and Answers


Ques. 15): Will AWS Data Pipeline handle my computing resources and provide and terminate them for me?

Answer:

Yes, compute resources will be supplied when the first activity that utilises those resources for a planned time is ready to begin, and those instances will be terminated when the last activity that uses those resources has concluded successfully or failed.


AWS Elastic Block Store (EBS) Interview Questions and Answers


Ques. 16): What distinguishes AWS Data Pipeline from Amazon Simple Workflow Service?

Answer:

While both services allow you to track your execution, handle retries and errors, and conduct arbitrary operations, AWS Data Pipeline is designed to help you with the stages that are prevalent in most data-driven processes. For example, actions may be executed only once their input data fulfils certain readiness requirements, data can be readily copied between multiple data stores, and chained transformations can be scheduled. Because of this narrow emphasis, Data Pipeline process definitions may be generated quickly and without coding or programming skills.


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Ques. 17): What is an activity, exactly?

Answer:

As part of a pipeline, AWS Data Pipeline will initiate an activity on your behalf. EMR or Hive tasks, copies, SQL queries, and command-line scripts are all examples of activities.


AWS Secrets Manager Interview Questions and Answers


Ques. 18): Is it possible to create numerous schedules for distinct tasks inside a pipeline?

Answer:

Yes, just construct numerous schedule objects in your pipeline definition file and use the schedule field to connect the selected schedule with the appropriate activity. This enables you to create a pipeline in which log files are stored in Amazon S3 every hour, for example, to drive the production of an aggregate report once per day.


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Ques. 19): Is there a list of sample pipelines I can use to get a feel for AWS Data Pipeline?

Answer:

Yes, our documentation includes sample workflows. In addition, the console includes various pipeline templates to help you get started.


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Ques. 20): Is there a limit to how much I can fit into a single pipeline?

Answer:

Each pipeline you construct can have up to 100 items by default.

 

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